MétaCan
Menu
Back to cohort
Record W4244411567 · doi:10.1111/cpsp.12294

Issue Information

2020· paratext· en· W4244411567 on OpenAlexfundno aff
Frank P. Deane, Josephine Terry, Chien Hoong, Cassandra L. Boness, Rachel Hershenberg, Joanna Kaye, Margaret‐Anne Mackintosh, Damion J. Grasso, Amy E. Noser, Susan D. Raffa, Tracey Varker, Dzenana Kartal, Loretta Watson, Isabella Freijah, Meaghan O’Donnell, David Forbes, Andrea Phelps, Malcolm Hopwood, Arthur M. Nezu, Katie Aafjes‐van Doorn, Gregory A. Hinrichsen, Kelly S. McClure, Tahirah Abdullah, Jacques P. Barber, David Barlow

Bibliographic record

VenueClinical Psychology Science and Practice · 2020
Typeparatext
Languageen
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsnot available
FundersNIH Clinical CenterNational Center for PTSD, U.S. Department of Veterans AffairsNorthwestern UniversityYork UniversitySchool of Medicine, Duke UniversityUniversity of California, Los AngelesUniversity of PittsburghStony Brook UniversityFlorida International UniversityVrije Universiteit AmsterdamUniversity of MemphisTemple UniversityKent State UniversityUniversity of California, San FranciscoUniversity of Arkansas for Medical SciencesSchool of Medicine, Stanford UniversityUniversity of OregonDrexel UniversityOklahoma State UniversityAdelphi UniversityEmory UniversityYale UniversityU.S. Department of Veterans AffairsRush UniversitySanta Clara University
KeywordsComputer science

Abstract

fetched live from OpenAlex

The pros

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.898
Threshold uncertainty score0.145

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0020.001
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.8980.836

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.224
GPT teacher head0.532
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueClinical Psychology Science and PracticeSame topicHuman auditory perception and evaluationFrench-language works237,207